基于两代参考文献和ASJC Scopus分类方案的论文新型分数化分类方法
New fractional classifications of papers based on two generations of references and on the ASJC Scopus scheme
AI总结：
本文提出基于两代参考文献的分数化分类方法，将Scopus论文分配至最多五个ASJC类别，并通过高阈值与参考文献数量平均策略提升分类粒度、同质性及与作者分配分类的一致性。
摘要：
本文提出并评估了一套方法，用于利用参考文献回溯至第二代来对单篇Scopus出版物进行分类，其中每篇出版物可被分数化地分配至最多五个ASJC（全科学期刊分类）类别，排除多学科领域和杂项类别。基于Glanzel等人（1999a, 1999b, 2021）的提议，建立了一些附加参数，使得根据类别隶属度的加权方式或多重分配接受阈值的设定方式，可以获得不同的分类结果。本文获得了多种分类结果，并将它们相互比较，同时与原始ASJC Scopus期刊分类以及先前研究（Alvarez-Llorente等人，2023）中的AAC（作者分配集合）分类进行比较，在该先前研究中，论文的通讯作者为论文分配最合适的类别。在允许多类别分配时设定较高阈值，并结合使用第一代和第二代参考文献以及对参考文献数量取平均的分类方法，提供了最有前景的结果，在粒度方面优于其他基于参考文献的再分类方案，在诸如分配给某一类别的出版物的同质性等方面也优于Scopus分类本身。这些分类结果还显示出与AAC分类更高的吻合度。
英文摘要：
This paper presents and evaluates a set of methods to classify individual Scopus publications using their references back to the second generation, where each publication can be assigned fractionally into up to five ASJC (All Science Journal Classifications) categories, excluding the Multidisciplinary area and the miscellaneous categories. Based on proposals by Glanzel et al. (1999a, 1999b, 2021), some additional parameters are established that allow different results to be obtained depending on how category membership is weighted or how the acceptance thresholds for multiple assignments are established. Various classifications are obtained, and then compared with each other, with the original ASJC Scopus journal classification, and with the AAC (Authors Assignation Collection) classification of a previous study (Alvarez-Llorente et al., 2023) in which the papers corresponding authors assign them the most appropriate categories. Classifications in which a high threshold is set for allowing assignments to multiple categories, combined with the use of first- and second-generation references and averaging over the number of references, provide the most promising results, improving over other reference-based reclassification proposals in terms of granularity, and over the Scopus classification itself in such aspects as the homogeneity of the publications assigned to a category. They also show greater coincidence with the AAC classification.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
